All Outputs (121)

Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication (2025)
Journal Article
Romero, M., Luckett, J., Dubern, J.-F., Figueredo, G. P., Ison, E., Carabelli, A. M., Scurr, D. J., Hook, A. L., Kammerling, L., Da Silva, A. C., Xue, X., Blackburn, C., Carlier, A., Vasilevich, A., Sudarsanam, P. K., Vermeulen, S., Winkler, D. A., Ghaemmaghami, A. M., De Boer, J., Alexander, M. R., & Williams, P. (2025). Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication. Nature Communications, 16(1), Article 5295. https://doi.org/10.1038/s41467-025-60567-x

Bio-instructive materials that intrinsically inhibit biofilm formation have significant anti-biofouling potential in industrial and healthcare settings. Since bacterial surface attachment is sensitive to surface topography, we experimentally surveyed... Read More about Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication.

Exploring Deaf And Hard of Hearing Peoples' Perspectives On Tasks In Augmented Reality: Interacting With 3D Objects And Instructional Comprehension (2025)
Presentation / Conference Contribution
Mojib Luna, S., Xu, J., Tigwell, G. W., LaLone, N., Saker, M., Chamberlain, A., Schwartz, D. I., & Papangelis, K. (2025, April). Exploring Deaf And Hard of Hearing Peoples' Perspectives On Tasks In Augmented Reality: Interacting With 3D Objects And Instructional Comprehension. Presented at 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan

Tasks in augmented reality (AR), such as 3D interaction and instructional comprehension, are often designed for users with uniform sensory abilities. Such an approach, however, can overlook the more nuanced needs of Deaf and Hard of Hearing (DHH) use... Read More about Exploring Deaf And Hard of Hearing Peoples' Perspectives On Tasks In Augmented Reality: Interacting With 3D Objects And Instructional Comprehension.

Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations (2025)
Presentation / Conference Contribution
Chamberlain, A., Ngo, V., McGarry, G., Kucukyilmaz, A., Benford, S., & Higgins, A. (2025, February). Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations. Presented at Designing for Bodies: Practices, Imaginaries and Discourses, University of Southern Denmark, Kolding

In this piece we start to explore the ways in which we somatise our interaction with robots as a symbiotic system - both as human and robot, and as human-robot. We also consider the ways that we might want to take our physical nature (existence), for... Read More about Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations.

Human AI conversational systems: when humans and machines start to chat (2024)
Journal Article
Borsci, S., Chamberlain, A., Nichele, E., Bødker, M., & Turchi, T. (2024). Human AI conversational systems: when humans and machines start to chat. Personal and Ubiquitous Computing, 28(6), 857–860. https://doi.org/10.1007/s00779-024-01837-1

When humans and machines start to chat: beyond anthropocentrism

Digital and embedded artificial intelligent (AI) agents with conversational capabilities have gained significant attention in recent years [1, 2]. Using natural language communication... Read More about Human AI conversational systems: when humans and machines start to chat.

A method for the ethical analysis of brain-inspired AI (2024)
Journal Article
Farisco, M., Baldassarre, G., Cartoni, E., Leach, A., Petrovici, M. A., Rosemann, A., Salles, A., Stahl, B., & van Albada, S. J. (2024). A method for the ethical analysis of brain-inspired AI. Artificial Intelligence Review, 57(6), Article 133. https://doi.org/10.1007/s10462-024-10769-4

Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to the underlying th... Read More about A method for the ethical analysis of brain-inspired AI.

Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching (2023)
Presentation / Conference Contribution
Chen, X., Bao, F., Qu, R., Dong, J., & Bai, R. (2023, September). Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching. Presented at 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain

Efficient truck dispatching is crucial for container port operations. Dynamic container port truck dispatching, a complex online optimization problem, poses significant challenges due to its uncertain and non-linear nature. This paper presents a nove... Read More about Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching.

Two-Level Type Theory and Applications (2023)
Journal Article
Annenkov, D., Capriotti, P., Kraus, N., & Sattler, C. (2023). Two-Level Type Theory and Applications. Mathematical Structures in Computer Science, 33(8), 688-743. https://doi.org/10.1017/S0960129523000130

We define and develop two-level type theory (2LTT), a version of Martin-Löf type theory which combines two different type theories. We refer to them as the ‘inner’ and the ‘outer’ type theory. In our case of interest, the inner theory is homotopy typ... Read More about Two-Level Type Theory and Applications.

Forced vital capacity trajectories in patients with idiopathic pulmonary fibrosis: a secondary analysis of a multicentre, prospective, observational cohort (2022)
Journal Article
Fainberg, H. P., Oldham, J. M., Molyneau, P. L., Allen, R. J., Kraven, L. M., Fahy, W. A., Porte, J., Braybrooke, R., Saini, G., Karsdal, M. A., Leeming, D. J., Triguero, I., Sand, J. M. B., Oballa, E., Wells, A. U., Renzoni, E., Wain, L. V., Noth, I., Maher, T. M., Stewart, I. D., & Jenkins, R. G. (2022). Forced vital capacity trajectories in patients with idiopathic pulmonary fibrosis: a secondary analysis of a multicentre, prospective, observational cohort. The Lancet. Digital Health, 4(12), e862-e872. https://doi.org/10.1016/S2589-7500%2822%2900173-X

Background: Idiopathic Pulmonary Fibrosis (IPF) is a progressive fibrotic lung disease with a variable clinical trajectory. Decline in Forced Vital Capacity (FVC) is the main indicator of progression, however missingness prevents long-term analysis o... Read More about Forced vital capacity trajectories in patients with idiopathic pulmonary fibrosis: a secondary analysis of a multicentre, prospective, observational cohort.

A confirmatory factorial analysis of the Chatbot Usability Scale: a multilanguage validation (2022)
Journal Article
Borsci, S., Schmettow, M., Malizia, A., Chamberlain, A., & van der Velde, F. (2023). A confirmatory factorial analysis of the Chatbot Usability Scale: a multilanguage validation. Personal and Ubiquitous Computing, 27, 317–330. https://doi.org/10.1007/s00779-022-01690-0

The Bot Usability Scale (BUS) is a standardised tool to assess and compare the satisfaction of users after interacting with chatbots to support the development of usable conversational systems. The English version of the 15-item BUS scale (BUS-15) wa... Read More about A confirmatory factorial analysis of the Chatbot Usability Scale: a multilanguage validation.

Ethical Concerns and Perceptions of Consumer Neurotechnology from Lived Experiences of Mental Workload Tracking (2022)
Presentation / Conference Contribution
Midha, S., Wilson, M. L., & Sharples, S. (2022, June). Ethical Concerns and Perceptions of Consumer Neurotechnology from Lived Experiences of Mental Workload Tracking. Presented at FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul Republic of Korea

With rapid growth in the development of consumer neurotechnology, it is imperative to consider the ethical implications that this might have in order to minimise consumer harm. Whilst ethical and legal guidelines for commercialisation have previously... Read More about Ethical Concerns and Perceptions of Consumer Neurotechnology from Lived Experiences of Mental Workload Tracking.

A review of ultrasonic sensing and machine learning methods to monitor industrial processes (2022)
Journal Article
Bowler, A. L., Pound, M. P., & Watson, N. J. (2022). A review of ultrasonic sensing and machine learning methods to monitor industrial processes. Ultrasonics, 124, Article 106776. https://doi.org/10.1016/j.ultras.2022.106776

Supervised machine learning techniques are increasingly being combined with ultrasonic sensor measurements owing to their strong performance. These techniques also offer advantages over calibration procedures of more complex fitting, improved general... Read More about A review of ultrasonic sensing and machine learning methods to monitor industrial processes.

The changing vaccine landscape: rates of COVID-19 vaccine acceptance and hesitancy in young adults during vaccine rollout (2022)
Journal Article
Knight, H., Jia, R., Ayling, K., Blake, H., Morling, J. R., Villalon, A. M., Corner, J., Denning, C., Ball, J., Bolton, K., Figueredo, G., Morris, D., Tighe, P., & Vedhara, K. (2023). The changing vaccine landscape: rates of COVID-19 vaccine acceptance and hesitancy in young adults during vaccine rollout. Perspectives in Public Health, 143(4), 220-224. https://doi.org/10.1177/17579139221094750

Aims: Development and rollout of vaccines offers the best opportunity for population protection against the SARS-CoV-2 (COVID-19) virus. However, hesitancy towards the vaccines might impede successful uptake in the United Kingdom, particularly in you... Read More about The changing vaccine landscape: rates of COVID-19 vaccine acceptance and hesitancy in young adults during vaccine rollout.

Mediated Visits: Longitudinal Domestic Dwelling with Mobile Robotic Telepresence (2022)
Presentation / Conference Contribution
Boudouraki, A., Reeves, S., Fischer, J. E., & Rintel, S. (2022, April). Mediated Visits: Longitudinal Domestic Dwelling with Mobile Robotic Telepresence. Presented at CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans LA USA

Mobile Robotic Telepresence (MRP) systems are remotely controlled, mobile videoconferencing devices that allow the remote user to move independently and have a physical presence in the environment. This paper presents a longitudinal study of MRP use... Read More about Mediated Visits: Longitudinal Domestic Dwelling with Mobile Robotic Telepresence.

Lived Experiences of Mental Workload in Everyday Life (2022)
Presentation / Conference Contribution
Midha, S., Wilson, M. L., & Sharples, S. (2022, April). Lived Experiences of Mental Workload in Everyday Life. Presented at CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans LA USA

We can now buy consumer brain-computer interface devices to help us meditate and focus, but what are we aiming to achieve? Mental workload (MWL) is an established concept, and as a form of personal data could be useful for making positive life change... Read More about Lived Experiences of Mental Workload in Everyday Life.

Lessons learned from the COVID-19 pandemic about sample access for research in the UK (2022)
Journal Article
Mai Sims, J., Lawrence, E., Glazer, K., Gander, A., Fuller, B., Garibaldi, J., Davidson, B., & Quinlan, P. R. (2022). Lessons learned from the COVID-19 pandemic about sample access for research in the UK. BMJ Open, 12(4), Article e047309. https://doi.org/10.1136/bmjopen-2020-047309

Objective Annotated clinical samples taken from patients are a foundation of translational medical research and give mechanistic insight into drug trials. Prior research by the Tissue Directory and Coordination Centre (TDCC) indicated that researcher... Read More about Lessons learned from the COVID-19 pandemic about sample access for research in the UK.

A Layered Spiking Neural System for Classification Problems (2022)
Journal Article
Zhang, G., Zhang, X., Rong, H., Paul, P., Zhu, M., Neri, F., & Ong, Y.-S. (2022). A Layered Spiking Neural System for Classification Problems. International Journal of Neural Systems, 32(8), Article 2250023. https://doi.org/10.1142/S012906572250023X

Biological brains have a natural capacity for resolving certain classification tasks. Studies on biologically plausible spiking neurons, architectures and mechanisms of artificial neural systems that closely match biological observations while giving... Read More about A Layered Spiking Neural System for Classification Problems.

Software tools for green and sustainable chemistry (2022)
Journal Article
Derbenev, I. N., Twycross, J., Dowden, J., & Hirst, J. D. (2022). Software tools for green and sustainable chemistry. Current Opinion in Green and Sustainable Chemistry, 35, Article 100623. https://doi.org/10.1016/j.cogsc.2022.100623

In this review, we consider green chemistry metrics, related software tools, and the opportunities and challenges for their use in research laboratories. We provide an overview of state-of-the-art software designed both to aid researchers in planning... Read More about Software tools for green and sustainable chemistry.

Evaluation of Contextual and Game-Based Training for Phishing Detection (2022)
Journal Article
Kävrestad, J., Hagberg, A., Nohlberg, M., Rambusch, J., Roos, R., & Furnell, S. (2022). Evaluation of Contextual and Game-Based Training for Phishing Detection. Future Internet, 14(4), Article 104. https://doi.org/10.3390/fi14040104

Cybersecurity is a pressing matter, and a lot of the responsibility for cybersecurity is put on the individual user. The individual user is expected to engage in secure behavior by selecting good passwords, identifying malicious emails, and more. Typ... Read More about Evaluation of Contextual and Game-Based Training for Phishing Detection.

Workplace 4.0: Exploring the Implications of Technology Adoption in Digital Manufacturing on a Sustainable Workforce (2022)
Journal Article
Leesakul, N., Oostveen, A.-M., Eimontaite, I., Wilson, M. L., & Hyde, R. (2022). Workplace 4.0: Exploring the Implications of Technology Adoption in Digital Manufacturing on a Sustainable Workforce. Sustainability, 14(6), Article 3311. https://doi.org/10.3390/su14063311

As part of the Industry 4.0 movement, the introduction of digital manufacturing technologies (DMTs) poses various concerns, particularly the impact of technology adoption on the workforce. In consideration of adoption challenges and implications, var... Read More about Workplace 4.0: Exploring the Implications of Technology Adoption in Digital Manufacturing on a Sustainable Workforce.

Cluster analyses of the TCGA and a TMA dataset using the coexpression of HSP27 and CRYAB improves alignment with clinical-pathological parameters of breast cancer and suggests different epichaperome influences for each sHSP (2022)
Journal Article
Quinlan, P. R., Figeuredo, G., Mongan, N., Jordan, L. B., Bray, S. E., Sreseli, R., Ashfield, A., Mitsch, J., van den Ijssel, P., Thompson, A. M., & Quinlan, R. A. (2022). Cluster analyses of the TCGA and a TMA dataset using the coexpression of HSP27 and CRYAB improves alignment with clinical-pathological parameters of breast cancer and suggests different epichaperome influences for each sHSP. Cell Stress and Chaperones, 27(2), 177-188. https://doi.org/10.1007/s12192-022-01258-0

Our cluster analysis of the Cancer Genome Atlas for co-expression of HSP27 and CRYAB in breast cancer patients identified three patient groups based on their expression level combination (high HSP27 + low CRYAB; low HSP27 + high CRYAB; similar HSP27 ... Read More about Cluster analyses of the TCGA and a TMA dataset using the coexpression of HSP27 and CRYAB improves alignment with clinical-pathological parameters of breast cancer and suggests different epichaperome influences for each sHSP.